Assessing Regional Public Transport Evaluation Indicators for Advanced Mobility Systems: A Review

Ran Du (), Fumitaka Kurauchi, Toshiyuki Nakamura and Masahiro Kuwahara
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Ran Du: Faculty of Engineering, Gifu University, 1-1, Yanagido, Gifu 501-1193, Japan
Fumitaka Kurauchi: Faculty of Engineering, Gifu University, 1-1, Yanagido, Gifu 501-1193, Japan
Toshiyuki Nakamura: Faculty of Engineering, Gifu University, 1-1, Yanagido, Gifu 501-1193, Japan
Masahiro Kuwahara: Social System PF Development Division, Toyota Motor Corporation (Japan), 1-6-1 Otemachi, Chiyoda City 100-0004, Tokyo, Japan

Sustainability, 2025, vol. 17, issue 19, 1-37

Abstract: The emergence of advanced mobility systems, including Demand Responsive Transport (DRT), shared mobility, and Mobility as a Service (MaaS), has required a reassessment of the evaluation indicators for public transportation systems. Existing studies often address only limited aspects and lack a comprehensive, structured classification, while the unique impacts of advanced systems remain insufficiently captured. Moreover, little attention has been given to which indicators are suitable for simulation despite their growing role in transport planning. To fill these gaps, this study develops a structured classification of quantitative evaluation indicators from the existing literature, serving as a foundation for assessing advanced mobility systems. It highlights system-specific characteristics, identifies relevant indicators, and examines their correspondence with conventional ones. Furthermore, it explores the applicability of these indicators in simulation environments, offering guidance for selecting representative indicators in simulation setup, operational monitoring, and impact assessment. Finally, it highlights the potential of quantitative indicators to approximate qualitative ones, suggesting directions for future research in simulation-based evaluation. By integrating environmental, economic, and societal dimensions, this study contributes to a sustainability-oriented framework for evaluating advanced mobility systems, providing insights for both academic research and practical mobility planning.

Keywords: public transport evaluation; quantitative indicators; indicator classification; advanced mobility system; regional public transport (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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